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Profound

AI answer-engine visibility analytics for brands

Infrastructure Engineer - Infrastructure

Platform EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 4 years of experience with cloud platforms; AWS is preferred.
  • Proficiency with infrastructure-as-code tools such as Terraform.
  • Deep experience with containers and orchestration, including Docker and Kubernetes.
  • A solid understanding of distributed architectures.
  • Programming proficiency in Python and Rust, or willingness to learn Rust quickly.
  • A proven ability to ship reliable infrastructure in production environments.
  • Experience with high-throughput, low-latency systems.
  • Database scaling and optimization experience.
  • Observability and monitoring expertise.
  • Network architecture and performance tuning experience.
  • Security and compliance experience.

Responsibilities

  • Design and maintain core infrastructure across cloud environments.
  • Build infrastructure-as-code workflows to automate deployments and scaling.
  • Improve monitoring, logging, and alerting systems to maintain reliability.
  • Manage continuous integration and continuous delivery (CI/CD) pipelines to ensure seamless deployments.
  • Support disaster recovery planning and ensure high availability of systems.
  • Partner with product and research teams to design architectures that scale with workload demands.
  • Identify and fix performance bottlenecks in compute, storage, and networking.
  • Implement security best practices and compliance frameworks across infrastructure.

Desired Qualifications

  • AWS cloud platform experience.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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